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1. 天津工业大学 电子与信息工程学院 天津,300387
2. 天津市光电检测技术与系统重点实验室, 天津 300387
3. 伍伦贡大学 电气、计算机与通信工程学院, 新南威尔士州 澳大利亚 2522
4. 天津工业大学 电气工程与自动化学院, 天津 300387
收稿日期:2017-04-24,
修回日期:2017-05-18,
纸质出版日期:2017-11-25
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丁明君, 习江涛, 李光旭等. 基于三波长相移轮廓术的表面测量降噪[J]. 光学精密工程, 2017,25(10s): 297-303
DING Ming-jun, XI Jiang-tao, LI Guang-xu etc. Denoising method for shape measurement based on three wavelength phase shift profilometry[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 297-303
丁明君, 习江涛, 李光旭等. 基于三波长相移轮廓术的表面测量降噪[J]. 光学精密工程, 2017,25(10s): 297-303 DOI: 10.3788/OPE.20172513.0297.
DING Ming-jun, XI Jiang-tao, LI Guang-xu etc. Denoising method for shape measurement based on three wavelength phase shift profilometry[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 297-303 DOI: 10.3788/OPE.20172513.0297.
为了改进利用相移轮廓术方法(PSP)对三维物体表面测量时的噪声问题,本文提出了一种基于三波长的相移轮廓术测量方法。首先,在研究等效波长和包裹相位的正问题基础上求解等效波长的相位。其次,推导三个独立光波的相位解卷绕方程。最后,利用相位分析方法去除相位噪声。本研究自行设计了测量系统,分别测量了标定板和复杂三维物体表面形状。与格雷码方法和多波长相移轮廓术方法相比,利用本方法对三维物体表面测量时噪声点减少98.02%,三维重建速度提高了12%。实验及分析结果显示该方法具有更好的鲁棒性和测量精度,并极大地提高了表面测量的噪声抑制能力。
In order to reduce noise points in shape measurement of 3D objects using Phase Shift Profilometry (PSP) methods
a novel Three Wave Length PSP (TWPSP) method was investigated. Firstly
relevant problems of equivalent wavelength and unwrapped phase were analyzed. Then
the solution of unwrapping method for TWPSP was derived. Finally
global phase filtering based method was used to reduce the phase noises. The measurement system was designed to measure the calibration target as well as the complicated shape target. Experimental results show that the noisy points of three-dimensional graphics are reduced by 98.02%
and the speed of 3D reconstruction is raised by 12%. The experiment and analysis results show that this system has better robust and higher measurement accuracy
thus the noises in the shape measurement can be suppressed significantly.
ZUO CH, HUANG L, ZHANG ML, et al.. Temporal phase unwrapping algorithms for fringe projection profilometry:A comparative review[J]. Optics and Lasers in Engineering, 2016, 85:84-103.
YANG J, JIA ZH, QIN X Z, et al.. 3D image denoising based on shape-adaptive principal component analysis[J]. Computer Engineering, 2013, 39(3):241-244.
DANIELYAN A, WU Y W, SHIH P Y, et al.. Denoising of two-photon fluorescence images with block-matching 3D filtering[J]. Methods, 2014, 68(2):308-316.
KANG C Q, CAO W Q, HUA L, et al.. Infrared image denoising algorithm via two-stage 3D filtering[J]. Laser Infrared, 2013, 43(3):261-264.
LI M,GHOSAL S. Bayesian multiscale smoothing of Gaussian noised images[J]. Bayesian Analysis, 2014, 9(3):733-758.
KARTHIK B, KIRAN K TVU. Noise removal using mixtures of projected Gaussian scale mixtures[J]. World Applied Sciences Journal, 2014, 29(8):1039-1045.
吴锡,何晋,朱明. 综合多梯度磁场方向弥散加权磁共振图像线性最小均方误差去噪[J]. 生物医学工程学杂志, 2014, 31(1):7-12. WU X, HE J, ZHU M. DWI LMMSE denoising using multiple magnitude directions[J]. Journal of Biomedical Engineering, 2014, 31(1):7-12. (in Chinese)
田萍芳,祝中华,陈英. 一种基于GPU的并行三维各向异性扩散的超声图像斑点噪声滤波算法[J]. 武汉大学学报:理学版,2015, 61(4):393-397. TIAN P F, ZHU ZH H, CHEN Y. A GPU-based parallel speckle reducing anisotropic diffusion algorithm for 3D ultrasound images[J]. J. Wuhan Univ.:Nat. Sci. Ed., 2015, 61(4):393-397. (in Chinese)
王亚琪,陈成军,李希彬,等. 基于Kinect的轴类零件三维重建研究[J]. 计算技术与自动化,2015,34(4):126-131. WANG Y Q, CHEN CH J, LI X B, et al.. Research on Kinect-based 3D reconstruction of shaft-type parts[J]. Computing Technology and Automation, 2015, 34(4):126-131. (in Chinese)
虞泓波,冯大政,曹杨,等. 机载雷达空时三维非自适应预滤波方法[J]. 电子与信息学报, 2014, 36(1):215-219. YU H B, FENG D ZH, CAO Y, et al.. Three-dimensional space-time nonadaptive pre-filtering approach in airborne radar[J]. Journal of Electronics & Information Technology, 2014, 36(1):215-219. (in Chinese)
SONG L M, CHANG Y L, XI J T, et al.. Phase unwrapping method based on multiple fringe patterns without use of equivalent wavelengths[J]. Optics Communications, 2015, 355:213-224.
JIANG C, BELL T, ZHANG S. High dynamic range real-time 3D shape measurement[J]. Optics Express, 2016, 24(7):7337-7346.
ZHANG S, YAU S T. High-resolution, real-time 3d absolute coordinate measurement based on a phase-shifting method[J]. Optics Express, 2006, 45:2644-2649.
WANG Y J, ZHANG S. OLIVER J H. 3D shape measurement technique for multiple rapidly moving objects[J]. Optics Express, 2011, 19(9):8539-8545.
SONG L M, WANG M P, HUANG L L, et al.. High precision camera calibration in vision measurement[J]. Optics and Laser Technology, 2007, 39(10):1413-1420.
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